@inproceedings{cho2022dkm,
  author={Minsik Cho and Keivan Alizadeh-Vahid and Saurabh Adya and Mohammad Rastegari},
  title={{DKM}: Differentiable k-Means Clustering Layer for Neural Network Compression},
  booktitle={International Conference on Learning Representations},
  year = {2022},
}
@inproceedings{chen2024MoteNN,
  author = {Chen, Renze and Ding, Zijian and Zheng, Size and Li, Meng and Liang, Yun},
  title = {MoteNN: Memory Optimization via Fine-grained Scheduling for Deep Neural Networks on Tiny Devices},
  year = {2024},
  booktitle = {Proceedings of the 61st ACM/IEEE Design Automation Conference},
}
@inproceedings{kang2024RT-MDM,
  author = {Kang, Sukmin and Lee, Seongtae and Koo, Hyunwoo and Chwa, Hoon Sung and Lee, Jinkyu},
  title = {RT-MDM: Real-Time Scheduling Framework for Multi-DNN on MCU Using External Memory},
  year = {2024},
  booktitle = {Proceedings of the 61st ACM/IEEE Design Automation Conference},
}
@INPROCEEDINGS{Zhongzhi2023NetBosster,
  author={Yu, Zhongzhi and Fu, Yonggan and Yuan, Jiayi and You, Haoran and Lin, Yingyan Celine},
  title={NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants}, 
  booktitle={2023 60th ACM/IEEE Design Automation Conference (DAC)}, 
  year={2023},
  pages={1-6},
  }
@InProceedings{pmlr-v162-patil22b,
  title = {{POET}: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging},
  author = {Patil, Shishir G. and Jain, Paras and Dutta, Prabal and Stoica, Ion and Gonzalez, Joseph},
  booktitle = {Proceedings of the 39th International Conference on Machine Learning},
  pages = {17573--17583},
  year = {2022},
}
@inproceedings{kwon2024tinytrain,
  title={TinyTrain: Resource-Aware Task-Adaptive Sparse Training of {DNN}s at the Data-Scarce Edge},
  author={Young D. Kwon and Rui Li and Stylianos Venieris and Jagmohan Chauhan and Nicholas Donald Lane and Cecilia Mascolo},
  booktitle={Forty-first International Conference on Machine Learning},
  year={2024},
}
@inproceedings{shala2023transfer,
  title={Transfer {NAS} with Meta-learned Bayesian Surrogates},
  author={Gresa Shala and Thomas Elsken and Frank Hutter and Josif Grabocka},
  booktitle={The Eleventh International Conference on Learning Representations },
  year={2023},
}
@inproceedings{mehta2022mobilevit,
  title={MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer},
  author={Sachin Mehta and Mohammad Rastegari},
  booktitle={International Conference on Learning Representations},
  year={2022},
}
@inproceedings{sheng2022FaHa,
  author = {Sheng, Yi and Yang, Junhuan and Wu, Yawen and Mao, Kevin and Shi, Yiyu and Hu, Jingtong and Jiang, Weiwen and Yang, Lei},
  title = {The larger the fairer? small neural networks can achieve fairness for edge devices},
  year = {2022},
  booktitle = {Proceedings of the 59th ACM/IEEE Design Automation Conference},
  pages = {163–168},
}
@inproceedings{cai2022network,
  title={Network Augmentation for Tiny Deep Learning},
  author={Han Cai and Chuang Gan and Ji Lin and Song Han},
  booktitle={International Conference on Learning Representations},
  year={2022},
}
@inproceedings{lou2022dictformer,
  title={DictFormer: Tiny Transformer with Shared Dictionary},
  author={Qian Lou and Ting Hua and Yen-Chang Hsu and Yilin Shen and Hongxia Jin},
  booktitle={International Conference on Learning Representations},
  year={2022},
}
@inproceedings{li2024Spark,
  author = {Li, Mingxuan and Zhi, Qinzhe and Dong, Yanchi and Ye, Le and Jia, Tianyu},
  title = {SPARK: An Efficient Hybrid Acceleration Architecture with Run-Time Sparsity-Aware Scheduling for TinyML Learning},
  year = {2024},
  booktitle = {Proceedings of the 61st ACM/IEEE Design Automation Conference},
}
@INPROCEEDINGS{Harald2024TinyBFT,
  author={Böhm, Harald and Distler, Tobias and Wägemann, Peter},
  booktitle={2024 IEEE 30th Real-Time and Embedded Technology and Applications Symposium (RTAS)}, 
  title={TinyBFT: Byzantine Fault-Tolerant Replication for Highly Resource-Constrained Embedded Systems}, 
  year={2024},
}
@inproceedings{luan2024using,
  title={Using spiking neural networks to assist fine art and philology study:{\textbackslash}{\textbackslash}to classify styles of Chinese calligraphy with minimal computing power},
  author={Zheng Luan and Xiangqi Kong and Shuimu Zeng and 姚羽珂 and Yaxuan Zhang and Xuerui Qiu},
  booktitle={The Second Tiny Papers Track at ICLR 2024},
  year={2024},
}
@inproceedings{Mendis2024DR,
  author = {Mendis, Hashan Roshantha and Kang, Chih-Kai and Lin, Chun-Han and Chen, Ming-Syan and Hsiu, Pi-Cheng},
  title = {Deep Reorganization: Retaining Residuals in TinyML},
  year = {2024},
  booktitle = {Proceedings of the 61st ACM/IEEE Design Automation Conference},
}
@INPROCEEDINGS{wang2023IP,
  author={Wang, Jinwen and Wu, Yuhao and Liu, Han and Yuan, Bo and Chamberlain, Roger and Zhang, Ning},
  booktitle={2023 60th ACM/IEEE Design Automation Conference (DAC)}, 
  title={IP Protection in TinyML}, 
  year={2023},
}
@inproceedings{chan2022FHDDnn,
  author = {Chandrasekaran, Rishikanth and Ergun, Kazim and Lee, Jihyun and Nanjunda, Dhanush and Kang, Jaeyoung and Rosing, Tajana},
  title = {FHDnn: communication efficient and robust federated learning for AIoT networks},
  year = {2022},
  booktitle = {Proceedings of the 59th ACM/IEEE Design Automation Conference},
}
